DocumentCode :
1151187
Title :
Optimal Decision Fusion in Multiple Sensor Systems
Author :
Thomopoulos, Stelios C A ; Viswanathan, Ramanarayanan ; Bougoulias, Dimitrios C.
Author_Institution :
Southern Illinois University
Issue :
5
fYear :
1987
Firstpage :
644
Lastpage :
653
Abstract :
The problem of optimal data fusion in the sense of the Neyman-pearson (N-P) test in a centralized fusion center is considered. The fusion center receives data from various distributed sensors. Each sensor implements a N-P test individually and independently of the other sensors. Due to limitations in channel capacity, the sensors transmit their decision instead of raw data. In addition to their decisions, the sensors may transmit one or more bits of quality information. The optimal, in the N-P sense, decision scheme at the fusion center is derived and it is seen that an improvement in the performance of the system beyond that of the most reliable sensor is feasible, even without quality information, for a system of three or more sensors. If quality information bits are also available at the fusion center, the performance of the distributed decision scheme is comparable to that of the centralized N-P test. Several examples are provided and an algorithm for adjusting the threshold level at the fusion center is provided.
Keywords :
Algorithm design and analysis; Bayesian methods; Capacitive sensors; Channel capacity; Equations; Probability; Sensor fusion; Sensor systems; Surveillance; Testing;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.1987.310858
Filename :
4104409
Link To Document :
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